DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Real-time forecasting of electricity demand in a streams-based architecture with applications

Abstract

A streams platform is used. Multiple streams of electricity usage data are received, each from an electrical meter providing periodic updates to electrical usage for devices connected to the electrical meter. Weather information is received corresponding to locations where the electrical meters are. Real-time predictive modeling of electricity demand is performed based on the received multiple streams of electricity usage data and the received weather information, at least by performing: updating a state space model for electrical load curves using the usage data from the streams and the weather, wherein the updating uses current load observations for the multiple streams for a current time period; and creating forecast(s) for the electricity demand. The forecast(s) of the electricity demand are output. Appliance-level predictions may be made and used, and substitution effects and load management functions may be performed.

Inventors:
; ; ; ;
Issue Date:
Research Org.:
International Business Machines Corp., Armonk, NY (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1568307
Patent Number(s):
10282795
Application Number:
15/189,173
Assignee:
International Business Machines Corporation (Armonk, NY)
Patent Classifications (CPCs):
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
DOE Contract Number:  
OE0000190
Resource Type:
Patent
Resource Relation:
Patent File Date: 06/22/2016
Country of Publication:
United States
Language:
English

Citation Formats

Ghosh, Soumyadip, Hosking, Jonathan R., Natarajan, Ramesh, Subramanian, Shivaram, and Zhang, Xiaoxuan. Real-time forecasting of electricity demand in a streams-based architecture with applications. United States: N. p., 2019. Web.
Ghosh, Soumyadip, Hosking, Jonathan R., Natarajan, Ramesh, Subramanian, Shivaram, & Zhang, Xiaoxuan. Real-time forecasting of electricity demand in a streams-based architecture with applications. United States.
Ghosh, Soumyadip, Hosking, Jonathan R., Natarajan, Ramesh, Subramanian, Shivaram, and Zhang, Xiaoxuan. Tue . "Real-time forecasting of electricity demand in a streams-based architecture with applications". United States. https://www.osti.gov/servlets/purl/1568307.
@article{osti_1568307,
title = {Real-time forecasting of electricity demand in a streams-based architecture with applications},
author = {Ghosh, Soumyadip and Hosking, Jonathan R. and Natarajan, Ramesh and Subramanian, Shivaram and Zhang, Xiaoxuan},
abstractNote = {A streams platform is used. Multiple streams of electricity usage data are received, each from an electrical meter providing periodic updates to electrical usage for devices connected to the electrical meter. Weather information is received corresponding to locations where the electrical meters are. Real-time predictive modeling of electricity demand is performed based on the received multiple streams of electricity usage data and the received weather information, at least by performing: updating a state space model for electrical load curves using the usage data from the streams and the weather, wherein the updating uses current load observations for the multiple streams for a current time period; and creating forecast(s) for the electricity demand. The forecast(s) of the electricity demand are output. Appliance-level predictions may be made and used, and substitution effects and load management functions may be performed.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {5}
}

Works referenced in this record:

Adaptive Load Management; A System for Incorporating Customer Electrical Demand Information for Demand and supply Side Energy Management
patent-application, April 2012


Model-based load demand control
patent, October 2015


Energy Management Systems and Methods
patent-application, September 2011


Systems and Methods for Model-Driven Demand Response
patent-application, September 2013


Managed virtual power plant utilizing aggregated storage
patent, September 2013


Adaptive Energy Management System
patent-application, May 2014


Method and system for forecasting power requirements using granular metrics
patent, June 2016


System and method for electric grid utilization and optimization
patent-application, August 2010


Managing Time-Substitutable Electricity Usage Using Dynamic Controls
patent-application, December 2014